Papers by Aswanth M
CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation (2023.findings-emnlp)
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| Challenge: | Large language models have demonstrated the capability to perform on machine translation when the input is prompted with a few examples. |
| Approach: | They propose a regression model that combine features influencing example selection to maximize translation quality. |
| Outcome: | The proposed model outperforms random selection and strong single-factor baselines on multiple language pairs and language models. |